Enhanced Artificial Neural Network Approach to Identify Specific Binary Pattern

Autor: Jitendra Singh Sengar
Rok vydání: 2015
Předmět:
Zdroj: International Journal of Hybrid Information Technology. 8:391-396
ISSN: 1738-9968
DOI: 10.14257/ijhit.2015.8.6.38
Popis: The main focus of this paper is to design a Artificial Neural Network Modal to identify specific binary pattern. This pattern will work at binary level to recognize that the received data is authentic at low level, through this work we are able to design a specific binary pattern and it would apply directly to the input layer to check accuracy in data at binary mean at low level. In this paper we have four bit data and user may arrange it in his own specific pattern, then ANN Modal will train for the given pattern then it will apply to check the pattern is found and data is authentic.
Databáze: OpenAIRE